Academic literature on the topic 'Akers’ social learning theory'

Akers’ social learning theory (SLT) is one of the predominate theories of criminal behavior; moreover, its empirical validity has been consistently supported by the extant research literature. However, a number of limitations plague this literature: Rarely is the full social learning model tested such that all four social learning constructs are operationalized and, where complete tests are found, they have either focused near exclusively on substance use/abuse or have examined only the direct, independent effects of its key theoretical constructs. The present study employs structural equations to test a more complete SLT model against self-reported data on intimate partner violence. Doing so permits an examination of both the direct and indirect effects of differential association, imitation, definitions, and differential reinforcement as well as the reciprocal/feedback effects of intimate partner violence back onto these social learning constructs as explicated by Akers.

The purposes of this study are to examine how social learning processes and social structure correlate with delinquency among Turkish adolescents and to articulate to what extent Akers’s social structure and social learning (SSSL) theory explains delinquency in Turkey, which is a different cultural context from Western countries in terms of family structure, level of collectivism or individualism, religion, belief systems, and norms. This study contributes to the existing body of knowledge by providing the first study testing Akers’s theory in the Turkish context. Analyses, relying on a structural equation modeling (SEM) framework, showed that the social learning process accounted for a substantial amount of variation in explaining adolescent delinquency. We also found that social learning process somewhat mediates social structural effects on delinquency.

The current study examines the cross-cultural applicability of Akers’ social learning theory in explaining why Japanese commit fewer deviant acts than Americans. It is predicted that deviance would be less common in Japan because Japanese have less favorable attitudes toward deviance, which in turn are attributable to less favorable peer reactions to deviance. Analyses of comparable survey data from college students in Japan ( N = 583) and the United States ( N = 615) provide mixed support for our arguments. As expected, Japanese students had less favorable attitudes toward deviance because they had peers who reacted less favorably to deviance. Contrary to expectation, however, even after controlling for student attitudes toward deviance and peer reactions to deviance, the initially large difference between the two samples in student deviance remained significant. This was at least partly because, in Japan, compared with the United States, peer reactions and student attitudes had significantly less influence on student deviance.

Hirschi has repeatedly argued that the relationship between social learning variables and crime is a product of “self-selection” driven by low self-control (LSC). Akers’ has suggested that social learning mechanisms, such as affiliations with deviant individuals and acceptance of criminal definitions, can mediate the effects of LSC on crime. Interestingly, there has been little comparative work done to explore this mediation hypothesis in the realm of substance use for offender populations outside of the United States. This study helps fill these gaps in the literature by exploring the potential mediation effects of social learning variables on the relationship between LSC and inhalant use among a sample of 739 male offenders in South Korea. Our results provide strong support for the mediation hypothesis that LSC indirectly influences self-reported inhalant use through social learning mechanisms.

The aim of this study was to examine to what extent Social Structure and Social Learning Theory (SSSL) explains delinquent behaviors among Turkish adolescents. While Social Structure and Social Learning (SSSL) Theory have been examined quite frequently in the criminology and sociology literature, the present study is unique as it tests the theory in Turkey, a context with a mixed Islamic and Secular cultural structure. The data originates from a survey conducted in Istanbul in 2008 by the Icelandic Centre for Social Research and Analysis (ICSRA) under the auspices of their Youth in Europe project. The sample includes 2,445 Turkish high school students. The dependent variable includes a 13-item delinquency scale, and the independent variables consist of differential association, costs and rewards of differential reinforcement, definitions, imitation, differential location in the social structure, and differential social location of groups. The statistical analyses were conducted using a negative binomial regression approach. Results demonstrated that differential association (peer delinquency) is positively associated with delinquent behaviors among Turkish adolescents. In addition, there is a significant and positive relationship between norms/beliefs that favor delinquency and delinquent behaviors. Moreover, parental reaction, a measure of differential reinforcement, has a negative impact on delinquency. Imitation variables, which include witnessing an argument and witnessing violence in the family, also appear as significant predictors for delinquency. Gender is the only social structure variable significantly related to delinquent behaviors. Furthermore, results indicated that social learning variables mediated the relationship between social structure and delinquent behaviors. Policy implications and suggestions for further studies are also provided at the end of the dissertation.

Proponents of social learning theory suggest that decades of empirical criminological research have validated the core propositions of social learning theory, and that future efforts should be directed toward further theoretical elaboration and integration (see Akers 1998; Akers and Jensen 2006). In response, some critics have suggested that empirical research has failed to isolate the causal mechanisms underlying the correlates of crime and deviance, and, as a result, existing ?data are seemingly consistent with several theories at once? (Sampson 1999:443). In this paper, I outline the causal importance of differential reinforcement in Akers? social learning theory, and I provide a systematic review of a sample of psychological and criminological literature on human reinforcement learning in an attempt to evaluate the current empirical status of Akers? social learning theory. I find that the empirical evidence supporting human reinforcement learning processes found in the behavioral psychology literature may not be directly generalizable to social learning theory, and that measurement difficulties have led criminology researchers to use indirect measures or to simply leave the concept of differential reinforcement out of empirical analyses altogether. As a result, many of social learning theory?s hypothesized causal linkages remain unexamined. I conclude that future research should be directed toward testing social learning theory?s central hypotheses regarding differential reinforcement before moving on to expand and test the theory?s macro-level implications.

Within Australia, motor vehicle injury is the leading cause of hospital admissions and fatalities. Road crash data reveals that among the factors contributing to crashes in Queensland, speed and alcohol continue to be overrepresented. While alcohol is the number one contributing factor to fatal crashes, speeding also contributes to a high proportion of crashes. Research indicates that risky driving is an important contributor to road crashes. However, it has been debated whether all risky driving behaviours are similar enough to be explained by the same combination of factors. Further, road safety authorities have traditionally relied upon deterrence based countermeasures to reduce the incidence of illegal driving behaviours such as speeding and drink driving. However, more recent research has focussed on social factors to explain illegal driving behaviours. The purpose of this research was to examine and compare the psychological, legal, and social factors contributing to two illegal driving behaviours: exceeding the posted speed limit and driving when over the legal blood alcohol concentration (BAC) for the drivers licence type. Complementary theoretical perspectives were chosen to comprehensively examine these two behaviours including Akers’ social learning theory, Stafford and Warr’s expanded deterrence theory, and personality perspectives encompassing alcohol misuse, sensation seeking, and Type-A behaviour pattern. The program of research consisted of two phases: a preliminary pilot study, and the main quantitative phase. The preliminary pilot study was undertaken to inform the development of the quantitative study and to ensure the clarity of the theoretical constructs operationalised in this research. Semi-structured interviews were conducted with 11 Queensland drivers recruited from Queensland Transport Licensing Centres and Queensland University of Technology (QUT). These interviews demonstrated that the majority of participants had engaged in at least one of the behaviours, or knew of someone who had. It was also found among these drivers that the social environment in which both behaviours operated, including family and friends, and the social rewards and punishments associated with the behaviours, are important in their decision making. The main quantitative phase of the research involved a cross-sectional survey of 547 Queensland licensed drivers. The aim of this study was to determine the relationship between speeding and drink driving and whether there were any similarities or differences in the factors that contribute to a driver’s decision to engage in one or the other. A comparison of the participants self-reported speeding and self-reported drink driving behaviour demonstrated that there was a weak positive association between these two behaviours. Further, participants reported engaging in more frequent speeding at both low (i.e., up to 10 kilometres per hour) and high (i.e., 10 kilometres per hour or more) levels, than engaging in drink driving behaviour. It was noted that those who indicated they drove when they may be over the legal limit for their licence type, more frequently exceeded the posted speed limit by 10 kilometres per hour or more than those who complied with the regulatory limits for drink driving. A series of regression analyses were conducted to investigate the factors that predict self-reported speeding, self-reported drink driving, and the preparedness to engage in both behaviours. In relation to self-reported speeding (n = 465), it was found that among the sociodemographic and person-related factors, younger drivers and those who score high on measures of sensation seeking were more likely to report exceeding the posted speed limit. In addition, among the legal and psychosocial factors it was observed that direct exposure to punishment (i.e., being detected by police), direct punishment avoidance (i.e., engaging in an illegal driving behaviour and not being detected by police), personal definitions (i.e., personal orientation or attitudes toward the behaviour), both the normative and behavioural dimensions of differential association (i.e., refers to both the orientation or attitude of their friends and family, as well as the behaviour of these individuals), and anticipated punishments were significant predictors of self-reported speeding. It was interesting to note that associating with significant others who held unfavourable definitions towards speeding (the normative dimension of differential association) and anticipating punishments from others were both significant predictors of a reduction in self-reported speeding. In relation to self-reported drink driving (n = 462), a logistic regression analysis indicated that there were a number of significant predictors which increased the likelihood of whether participants had driven in the last six months when they thought they may have been over the legal alcohol limit. These included: experiences of direct punishment avoidance; having a family member convicted of drink driving; higher levels of Type-A behaviour pattern; greater alcohol misuse (as measured by the AUDIT); and the normative dimension of differential association (i.e., associating with others who held favourable attitudes to drink driving). A final logistic regression analysis examined the predictors of whether the participants reported engaging in both drink driving and speeding versus those who reported engaging in only speeding (the more common of the two behaviours) (n = 465). It was found that experiences of punishment avoidance for speeding decreased the likelihood of engaging in both speeding and drink driving; whereas in the case of drink driving, direct punishment avoidance increased the likelihood of engaging in both behaviours. It was also noted that holding favourable personal definitions toward speeding and drink driving, as well as higher levels of on Type-A behaviour pattern, and greater alcohol misuse significantly increased the likelihood of engaging in both speeding and drink driving. This research has demonstrated that the compliance with the regulatory limits was much higher for drink driving than it was for speeding. It is acknowledged that while speed limits are a fundamental component of speed management practices in Australia, the countermeasures applied to both speeding and drink driving do not appear to elicit the same level of compliance across the driving population. Further, the findings suggest that while the principles underpinning the current regime of deterrence based countermeasures are sound, current enforcement practices are insufficient to force compliance among the driving population, particularly in the case of speeding. Future research should further examine the degree of overlap between speeding and drink driving behaviour and whether punishment avoidance experiences for a specific illegal driving behaviour serve to undermine the deterrent effect of countermeasures aimed at reducing the incidence of another illegal driving behaviour. Furthermore, future work should seek to understand the factors which predict engaging in speeding and drink driving behaviours at the same time. Speeding has shown itself to be a pervasive and persistent behaviour, hence it would be useful to examine why road safety authorities have been successful in convincing the majority of drivers of the dangers of drink driving, but not those associated with speeding. In conclusion, the challenge for road safety practitioners will be to convince drivers that speeding and drink driving are equally risky behaviours, with the ultimate goal to reduce the prevalence of both behaviours.

Unlicensed driving remains a serious problem for road safety, despite ongoing improvements in traffic law enforcement practices and technology. While it does not play a direct causative role in road crashes, unlicensed driving undermines the integrity of the driver licensing system and is associated with a range of high-risk behaviours. This thesis documents three studies that were undertaken to explore the scope and nature of unlicensed driving, in order to develop more effective countermeasures to the behaviour.----- Study One utilised official road crash data from the Australian state of Queensland to compare the crash involvement patterns of unlicensed drivers with those of licensed drivers. The results confirmed that unlicensed driving is a relatively small, but significant road safety problem. Unlicensed drivers represent over 6% of the drivers involved in fatal crashes and 5% of those in serious injury crashes. Based on a quasi-induced exposure method, unlicensed drivers were found to be almost three times as likely to be involved in a crash than licensed drivers. In the event of a crash, those involving unlicensed drivers were twice as likely to result in a fatality or serious injury. Consistent with these results, the serious crashes involving unlicensed drivers were more likely to feature risky driving behaviours, such as drink driving, speeding and motorcycle use, than those involving licensed drivers.----- Study Two involved a cross-sectional survey of 309 unlicensed driving offenders who were recruited at the Brisbane Central Magistrates Court. The survey involved a face-to-face interview that took approximately 25 minutes to complete and achieved a response rate of 62.4%. A wide range of offenders participated in the study, including: disqualified and suspended drivers; expired licence holders; drivers without a current or appropriate licence; and those who had never been licensed. The results reinforced concerns about the on-road behaviour of unlicensed drivers. Almost one quarter of all the offenders reported driving unlicensed when they thought they might have been over the alcohol limit. Similarly, 25% reported exceeding the speed limit by 10 km/h or more on most or all occasions, while 15% admitted that they didn't always wear their seat belt. In addition, the results indicated that unlicensed drivers should not be viewed as a homogeneous group. Significant differences were found between the offender types in terms of their socio-demographic characteristics (age, education level, prior criminal convictions); driving history (prior convictions for unlicensed driving and other traffic offences); whether they were aware of being unlicensed; the degree to which they limited their driving while unlicensed; and their drink driving behaviour. In particular, a more deviant sub-group of offenders was identified, that included the disqualified, not currently licensed and never licensed drivers, who reported higher levels of prior criminal offending, alcohol misuse and self-reported drink driving. The results of Study Two also highlight the shortcomings of existing police enforcement practices. Almost one-third of the sample reported that they continued to drive unlicensed after being detected by the police (up until the time of the court hearing), while many offenders reported experiences of punishment avoidance. For example, over one third of the participants reported being pulled over by the police while driving unlicensed and not having their licence checked.----- Study Three involved the further analysis of the cross-sectional survey data to explore the factors contributing to unlicensed driving. It examined the influence of various personal, social and environmental factors on three aspects of the offenders' behaviour: the frequency of their driving while unlicensed; whether they continued to drive unlicensed after being detected; and their intentions to drive unlicensed in the future. This study was also designed to assess the capacity of a number of different theoretical perspectives to explain unlicensed driving behaviour, including deterrence theory and Akers' (1977) social learning theory. At an applied level, the results of Study Three indicated that personal and social factors exert the strongest influence over unlicensed driving behaviour. The main personal influences on unlicensed driving were: the need to drive for work purposes; exposure to punishment avoidance; personal attitudes to unlicensed driving; and anticipated punishments for the behaviour. The main social influences reflected the social learning construct of differential association, namely being exposed to significant others who both engage in unlicensed driving (behavioural dimension) and hold positive attitudes to the behaviour (normative dimension). At a theoretical level, the results of Study Three have two important implications for traffic psychology and criminology. Firstly, they provided partial support for Stafford and Warr's (1993) reconceptualisation of deterrence theory by demonstrating that the inclusion of punishment avoidance can improve the overall predictive utility of the perspective. Secondly, they suggested that social learning theory represents a more comprehensive framework for predicting illegal driving behaviours, such as unlicensed driving. This is consistent with Akers' (1977; 1990) assertion that formal deterrence processes can be subsumed within social learning theory.----- Together, the results of the three studies have important implications for road safety. Most importantly, they question the common assumption that unlicensed drivers drive in a more cautious manner to avoid detection. While the findings indicate that many offenders reduce their overall driving exposure in order to avoid detection, this does not appear to result in safer driving. While it remains possible that unlicensed drivers tend to act more cautiously than they would otherwise, it appears that their driving behaviour is primarily designed to reduce their chances of detection. In terms of countermeasures, the research indicates that a multi-strategy approach is required to address the problem of unlicensed driving. Unlicensed drivers do not represent a homogeneous group who are likely to be influenced by the threat of punishment alone. Rather, innovative strategies are required to address the wide range of factors that appear to encourage or facilitate the behaviour. Foremost among these are punishment avoidance and the need to drive for work purposes.

Unlicensed driving remains a serious problem for road safety, despite ongoing improvements in traffic law enforcement practices and technology. While it does not play a direct causative role in road crashes, unlicensed driving undermines the integrity of the driver licensing system and is associated with a range of high-risk behaviours. This thesis documents three studies that were undertaken to explore the scope and nature of unlicensed driving, in order to develop more effective countermeasures to the behaviour.----- Study One utilised official road crash data from the Australian state of Queensland to compare the crash involvement patterns of unlicensed drivers with those of licensed drivers. The results confirmed that unlicensed driving is a relatively small, but significant road safety problem. Unlicensed drivers represent over 6% of the drivers involved in fatal crashes and 5% of those in serious injury crashes. Based on a quasi-induced exposure method, unlicensed drivers were found to be almost three times as likely to be involved in a crash than licensed drivers. In the event of a crash, those involving unlicensed drivers were twice as likely to result in a fatality or serious injury. Consistent with these results, the serious crashes involving unlicensed drivers were more likely to feature risky driving behaviours, such as drink driving, speeding and motorcycle use, than those involving licensed drivers.----- Study Two involved a cross-sectional survey of 309 unlicensed driving offenders who were recruited at the Brisbane Central Magistrates Court. The survey involved a face-to-face interview that took approximately 25 minutes to complete and achieved a response rate of 62.4%. A wide range of offenders participated in the study, including: disqualified and suspended drivers; expired licence holders; drivers without a current or appropriate licence; and those who had never been licensed. The results reinforced concerns about the on-road behaviour of unlicensed drivers. Almost one quarter of all the offenders reported driving unlicensed when they thought they might have been over the alcohol limit. Similarly, 25% reported exceeding the speed limit by 10 km/h or more on most or all occasions, while 15% admitted that they didn't always wear their seat belt. In addition, the results indicated that unlicensed drivers should not be viewed as a homogeneous group. Significant differences were found between the offender types in terms of their socio-demographic characteristics (age, education level, prior criminal convictions); driving history (prior convictions for unlicensed driving and other traffic offences); whether they were aware of being unlicensed; the degree to which they limited their driving while unlicensed; and their drink driving behaviour. In particular, a more deviant sub-group of offenders was identified, that included the disqualified, not currently licensed and never licensed drivers, who reported higher levels of prior criminal offending, alcohol misuse and self-reported drink driving. The results of Study Two also highlight the shortcomings of existing police enforcement practices. Almost one-third of the sample reported that they continued to drive unlicensed after being detected by the police (up until the time of the court hearing), while many offenders reported experiences of punishment avoidance. For example, over one third of the participants reported being pulled over by the police while driving unlicensed and not having their licence checked.----- Study Three involved the further analysis of the cross-sectional survey data to explore the factors contributing to unlicensed driving. It examined the influence of various personal, social and environmental factors on three aspects of the offenders' behaviour: the frequency of their driving while unlicensed; whether they continued to drive unlicensed after being detected; and their intentions to drive unlicensed in the future. This study was also designed to assess the capacity of a number of different theoretical perspectives to explain unlicensed driving behaviour, including deterrence theory and Akers' (1977) social learning theory. At an applied level, the results of Study Three indicated that personal and social factors exert the strongest influence over unlicensed driving behaviour. The main personal influences on unlicensed driving were: the need to drive for work purposes; exposure to punishment avoidance; personal attitudes to unlicensed driving; and anticipated punishments for the behaviour. The main social influences reflected the social learning construct of differential association, namely being exposed to significant others who both engage in unlicensed driving (behavioural dimension) and hold positive attitudes to the behaviour (normative dimension). At a theoretical level, the results of Study Three have two important implications for traffic psychology and criminology. Firstly, they provided partial support for Stafford and Warr's (1993) reconceptualisation of deterrence theory by demonstrating that the inclusion of punishment avoidance can improve the overall predictive utility of the perspective. Secondly, they suggested that social learning theory represents a more comprehensive framework for predicting illegal driving behaviours, such as unlicensed driving. This is consistent with Akers' (1977; 1990) assertion that formal deterrence processes can be subsumed within social learning theory.----- Together, the results of the three studies have important implications for road safety. Most importantly, they question the common assumption that unlicensed drivers drive in a more cautious manner to avoid detection. While the findings indicate that many offenders reduce their overall driving exposure in order to avoid detection, this does not appear to result in safer driving. While it remains possible that unlicensed drivers tend to act more cautiously than they would otherwise, it appears that their driving behaviour is primarily designed to reduce their chances of detection. In terms of countermeasures, the research indicates that a multi-strategy approach is required to address the problem of unlicensed driving. Unlicensed drivers do not represent a homogeneous group who are likely to be influenced by the threat of punishment alone. Rather, innovative strategies are required to address the wide range of factors that appear to encourage or facilitate the behaviour. Foremost among these are punishment avoidance and the need to drive for work purposes.

Speeding remains a significant contributing factor to road trauma internationally, despite increasingly sophisticated speed management strategies being adopted around the world. Increases in travel speed are associated with increases in crash risk and crash severity. As speed choice is a voluntary behaviour, driver perceptions are important to our understanding of speeding and, importantly, to designing effective behavioural countermeasures. The four studies conducted in this program of research represent a comprehensive approach to examining psychosocial influences on driving speeds in two countries that are at very different levels of road safety development: Australia and China. Akers’ social learning theory (SLT) was selected as the theoretical framework underpinning this research and guided the development of key research hypotheses. This theory was chosen because of its ability to encompass psychological, sociological, and criminological perspectives in understanding behaviour, each of which has relevance to speeding. A mixed-method design was used to explore the personal, social, and legal influences on speeding among car drivers in Queensland (Australia) and Beijing (China). Study 1 was a qualitative exploration, via focus group interviews, of speeding among 67 car drivers recruited from south east Queensland. Participants were assigned to groups based on their age and gender, and additionally, according to whether they self-identified as speeding excessively or rarely. This study aimed to elicit information about how drivers conceptualise speeding as well as the social and legal influences on driving speeds. The findings revealed a wide variety of reasons and circumstances that appear to be used as personal justifications for exceeding speed limits. Driver perceptions of speeding as personally and socially acceptable, as well as safe and necessary were common. Perceptions of an absence of danger associated with faster driving speeds were evident, particularly with respect to driving alone. An important distinction between the speed-based groups related to the attention given to the driving task. Rare speeders expressed strong beliefs about the need to be mindful of safety (self and others) while excessive speeders referred to the driving task as automatic, an absent-minded endeavour, and to speeding as a necessity in order to remain alert and reduce boredom. For many drivers in this study, compliance with speed limits was expressed as discretionary rather than mandatory. Social factors, such as peer and parental influence were widely discussed in Study 1 and perceptions of widespread community acceptance of speeding were noted. In some instances, the perception that ‘everybody speeds’ appeared to act as one rationale for the need to raise speed limits. Self-presentation, or wanting to project a positive image of self was noted, particularly with respect to concealing speeding infringements from others to protect one’s image as a trustworthy and safe driver. The influence of legal factors was also evident. Legal sanctions do not appear to influence all drivers to the same extent. For instance, fear of apprehension appeared to play a role in reducing speeding for many, although previous experiences of detection and legal sanctions seemed to have had limited influence on reducing speeding among some drivers. Disregard for sanctions (e.g., driving while suspended), fraudulent demerit point use, and other strategies to avoid detection and punishment were widely and openly discussed. In Study 2, 833 drivers were recruited from roadside service stations in metropolitan and regional locations in Queensland. A quantitative research strategy assessed the relative contribution of personal, social, and legal factors to recent and future self-reported speeding (i.e., frequency of speeding and intentions to speed in the future). Multivariate analyses examining a range of factors drawn from SLT revealed that factors including self-identity (i.e., identifying as someone who speeds), favourable definitions (attitudes) towards speeding, personal experiences of avoiding detection and punishment for speeding, and perceptions of family and friends as accepting of speeding were all significantly associated with greater self-reported speeding. Study 3 was an exploratory, qualitative investigation of psychosocial factors associated with speeding among 35 Chinese drivers who were recruited from the membership of a motoring organisation and a university in Beijing. Six focus groups were conducted to explore similar issues to those examined in Study 1. The findings of Study 3 revealed many similarities with respect to the themes that arose in Australia. For example, there were similarities regarding personal justifications for speeding, such as the perception that posted limits are unreasonably low, the belief that individual drivers are able to determine safe travel speeds according to personal comfort with driving fast, and the belief that drivers possess adequate skills to control a vehicle at high speed. Strategies to avoid detection and punishment were also noted, though they appeared more widespread in China and also appeared, in some cases, to involve the use of a third party, a topic that was not reported by Australian drivers. Additionally, higher perceived enforcement tolerance thresholds were discussed by Chinese participants. Overall, the findings indicated perceptions of a high degree of community acceptance of speeding and a perceived lack of risk associated with speeds that were well above posted speed limits. Study 4 extended the exploratory research phase in China with a quantitative investigation involving 299 car drivers recruited from car washes in Beijing. Results revealed a relatively inexperienced sample with less than 5 years driving experience, on average. One third of participants perceived that the certainty of penalties when apprehended was low and a similar proportion of Chinese participants reported having previously avoided legal penalties when apprehended for speeding. Approximately half of the sample reported that legal penalties for speeding were ‘minimally to not at all’ severe. Multivariate analyses revealed that past experiences of avoiding detection and punishment for speeding, as well as favourable attitudes towards speeding, and perceptions of strong community acceptance of speeding were most strongly associated with greater self-reported speeding in the Chinese sample. Overall, the results of this research make several important theoretical contributions to the road safety literature. Akers’ social learning theory was found to be robust across cultural contexts with respect to speeding; similar amounts of variance were explained in self-reported speeding in the quantitative studies conducted in Australia and China. Historically, SLT was devised as a theory of deviance and posits that deviance and conformity are learned in the same way, with the balance of influence stemming from the ways in which behaviour is rewarded and punished (Akers, 1998). This perspective suggests that those who speed and those who do not are influenced by the same mechanisms. The inclusion of drivers from both ends of the ‘speeding spectrum’ in Study 1 provided an opportunity to examine the wider utility of SLT across the full range of the behaviour. One may question the use of a theory of deviance to investigate speeding, a behaviour that could, arguably, be described as socially acceptable and prevalent. However, SLT seemed particularly relevant to investigating speeding because of its inclusion of association, imitation, and reinforcement variables which reflect the breadth of factors already found to be potentially influential on driving speeds. In addition, driving is a learned behaviour requiring observation, guidance, and practice. Thus, the reinforcement and imitation concepts are particularly relevant to this behaviour. Finally, current speed management practices are largely enforcement-based and rely on the principles of behavioural reinforcement captured within the reinforcement component of SLT. Thus, the application of SLT to a behaviour such as speeding offers promise in advancing our understanding of the factors that influence speeding, as well as extending our knowledge of the application of SLT. Moreover, SLT could act as a valuable theoretical framework with which to examine other illegal driving behaviours that may not necessarily be seen as deviant by the community (e.g., mobile phone use while driving). This research also made unique contributions to advancing our understanding of the key components and the overall structure of Akers’ social learning theory. The broader SLT literature is lacking in terms of a thorough structural understanding of the component parts of the theory. For instance, debate exists regarding the relevance of, and necessity for including broader social influences in the model as captured by differential association. In the current research, two alternative SLT models were specified and tested in order to better understand the nature and extent of the influence of differential association on behaviour. Importantly, the results indicated that differential association was able to make a unique contribution to explaining self-reported speeding, thereby negating the call to exclude it from the model. The results also demonstrated that imitation was a discrete theoretical concept that should also be retained in the model. The results suggest a need to further explore and specify mechanisms of social influence in the SLT model. In addition, a novel approach was used to operationalise SLT variables by including concepts drawn from contemporary social psychological and deterrence-based research to enhance and extend the way that SLT variables have traditionally been examined. Differential reinforcement was conceptualised according to behavioural reinforcement principles (i.e., positive and negative reinforcement and punishment) and incorporated concepts of affective beliefs, anticipated regret, and deterrence-related concepts. Although implicit in descriptions of SLT, little research has, to date, made use of the broad range of reinforcement principles to understand the factors that encourage or inhibit behaviour. This approach has particular significance to road user behaviours in general because of the deterrence-based nature of many road safety countermeasures. The concept of self-identity was also included in the model and was found to be consistent with the definitions component of SLT. A final theoretical contribution was the specification and testing of a full measurement model prior to model testing using structural equation modelling. This process is recommended in order to reduce measurement error by providing an examination of the psychometric properties of the data prior to full model testing. Despite calls for such work for a number of decades, the current work appears to be the only example of a full measurement model of SLT. There were also a number of important practical implications that emerged from this program of research. Firstly, perceptions regarding speed enforcement tolerance thresholds were highlighted as a salient influence on driving speeds in both countries. The issue of enforcement tolerance levels generated considerable discussion among drivers in both countries, with Australian drivers reporting lower perceived tolerance levels than Chinese drivers. It was clear that many drivers used the concept of an enforcement tolerance in determining their driving speed, primarily with the desire to drive faster than the posted speed limit, yet remaining within a speed range that would preclude apprehension by police. The quantitative results from Studies 2 and 4 added support to these qualitative findings. Together, the findings supported previous research and suggested that a travel speed may not be seen as illegal until that speed reaches a level over the prescribed enforcement tolerance threshold. In other words, the enforcement tolerance appears to act as a ‘de facto’ speed limit, replacing the posted limit in the minds of some drivers. The findings from the two studies conducted in China (Studies 2 and 4) further highlighted the link between perceived enforcement tolerances and a ‘de facto’ speed limit. Drivers openly discussed driving at speeds that were well above posted speed limits and some participants noted their preference for driving at speeds close to ‘50% above’ the posted limit. This preference appeared to be shaped by the perception that the same penalty would be imposed if apprehended, irrespective of what speed they travelling (at least up to 50% above the limit). Further research is required to determine whether the perceptions of Chinese drivers are mainly influenced by the Law of the People’s Republic of China or by operational practices. Together, the findings from both studies in China indicate that there may be scope to refine enforcement tolerance levels, as has happened in other jurisdictions internationally over time, in order to reduce speeding. Any attempts to do so would likely be assisted by the provision of information about the legitimacy and purpose of speed limits as well as risk factors associated with speeding because these issues were raised by Chinese participants in the qualitative research phase. Another important practical implication of this research for speed management in China is the way in which penalties are determined. Chinese drivers described perceptions of unfairness and a lack of transparency in the enforcement system because they were unsure of the penalty that they would receive if apprehended. Steps to enhance the perceived certainty and consistency of the system to promote a more equitable approach to detection and punishment would appear to be welcomed by the general driving public and would be more consistent with the intended theoretical (deterrence) basis that underpins the current speed enforcement approach. The use of mandatory, fixed penalties may assist in this regard. In many countries, speeding attracts penalties that are dependent on the severity of the offence. In China, there may be safety benefits gained from the introduction of a similar graduated scale of speeding penalties and fixed penalties might also help to address the issue of uncertainty about penalties and related perceptions of unfairness. Such advancements would be in keeping with the principles of best practice for speed management as identified by the World Health Organisation. Another practical implication relating to legal penalties, and applicable to both cultural contexts, relates to the issues of detection and punishment avoidance. These two concepts appeared to strongly influence speeding in the current samples. In Australia, detection avoidance strategies reported by participants generally involved activities that are not illegal (e.g., site learning and remaining watchful for police vehicles). The results from China were similar, although a greater range of strategies were reported. The most common strategy reported in both countries for avoiding detection when speeding was site learning, or familiarisation with speed camera locations. However, a range of illegal practices were also described by Chinese drivers (e.g., tampering with or removing vehicle registration plates so as to render the vehicle unidentifiable on camera and use of in-vehicle radar detectors). With regard to avoiding punishment when apprehended, a range of strategies were reported by drivers from both countries, although a greater range of strategies were reported by Chinese drivers. As the results of the current research indicated that detection avoidance was strongly associated with greater self-reported speeding in both samples, efforts to reduce avoidance opportunities are strongly recommended. The practice of randomly scheduling speed camera locations, as is current practice in Queensland, offers one way to minimise site learning. The findings of this research indicated that this practice should continue. However, they also indicated that additional strategies are needed to reduce opportunities to evade detection. The use of point-to-point speed detection (also known as sectio

Newly licensed drivers on a provisional or intermediate licence have the highest crash risk when compared with any other group of drivers. In comparison, learner drivers have the lowest crash risk. Graduated driver licensing is one countermeasure that has been demonstrated to effectively reduce the crashes of novice drivers. This thesis examined the graduated driver licensing systems in two Australian states in order to better understand the behaviour of learner drivers, provisional drivers and the supervisors of learner drivers. By doing this, the thesis investigated the personal, social and environmental influences on novice driver behaviour as well as providing effective baseline data against which to measure subsequent changes to the licensing systems. In the first study, conducted prior to the changes to the graduated driver licensing system introduced in mid-2007, drivers who had recently obtained their provisional licence in Queensland and New South Wales were interviewed by telephone regarding their experiences while driving on their learner licence. Of the 687 eligible people approached to participate at driver licensing centres, 392 completed the study representing a response rate of 57.1 per cent. At the time the data was collected, New South Wales represented a more extensive graduated driver licensing system when compared with Queensland. The results suggested that requiring learners to complete a mandated number of hours of supervised practice impacts on the amount of hours that learners report completing. While most learners from New South Wales reported meeting the requirement to complete 50 hours of practice, it appears that many stopped practising soon after this goal was achieved. In contrast, learners from Queensland, who were not required to complete a specific number of hours at the time of the survey, tended to fall into three groups. The first group appeared to complete the minimum number of hours required to pass the test (less than 26 hours), the second group completed 26 to 50 hours of supervised practice while the third group completed significantly more practice than the first two groups (over 100 hours of supervised practice). Learner drivers in both states reported generally complying with the road laws and were unlikely to report that they had been caught breaking the road rules. They also indicated that they planned to obey the road laws once they obtained their provisional licence. However, they were less likely to intend to comply with recommended actions to reduce crash risk such as limiting their driving at night. This study also identified that there were relatively low levels of unaccompanied driving (approximately 15 per cent of the sample), very few driving offences committed (five per cent of the sample) and that learner drivers tended to use a mix of private and professional supervisors (although the majority of practice is undertaken with private supervisors). Consistent with the international literature, this study identified that very few learner drivers had experienced a crash (six per cent) while on their learner licence. The second study was also conducted prior to changes to the graduated driver licensing system and involved follow up interviews with the participants of the first study after they had approximately 21 months driving experience on their provisional licence. Of the 392 participants that completed the first study, 233 participants completed the second interview (representing a response rate of 59.4 per cent). As with the first study, at the time the data was collected, New South Wales had a more extensive graduated driver licensing system than Queensland. For instance, novice drivers from New South Wales were required to progress through two provisional licence phases (P1 and P2) while there was only one provisional licence phase in Queensland. Among the participants in this second study, almost all provisional drivers (97.9 per cent) owned or had access to a vehicle for regular driving. They reported that they were unlikely to break road rules, such as driving after a couple of drinks, but were also unlikely to comply with recommended actions, such as limiting their driving at night. When their provisional driving behaviour was compared to the stated intentions from the first study, the results suggested that their intentions were not a strong predictor of their subsequent behaviour. Their perception of risk associated with driving declined from when they first obtained their learner licence to when they had acquired provisional driving experience. Just over 25 per cent of participants in study two reported that they had been caught committing driving offences while on their provisional licence. Nearly one-third of participants had crashed while driving on a provisional licence, although few of these crashes resulted in injuries or hospitalisations. To complement the first two studies, the third study examined the experiences of supervisors of learner drivers, as well as their perceptions of their learner’s experiences. This study was undertaken after the introduction of the new graduated driver licensing systems in Queensland and New South Wales in mid- 2007, providing insights into the impacts of these changes from the perspective of supervisors. The third study involved an internet survey of 552 supervisors of learner drivers. Within the sample, approximately 50 per cent of participants supervised their own child. Other supervisors of the learner drivers included other parents or stepparents, professional driving instructors and siblings. For two-thirds of the sample, this was the first learner driver that they had supervised. Participants had provided an average of 54.82 hours (sd = 67.19) of supervision. Seventy-three per cent of participants indicated that their learners’ logbooks were accurate or very accurate in most cases, although parents were more likely than non-parents to report that their learners’ logbook was accurate (F (1,546) = 7.74, p = .006). There was no difference between parents and non-parents regarding whether they believed the log book system was effective (F (1,546) = .01, p = .913). The majority of the sample reported that their learner driver had had some professional driving lessons. Notwithstanding this, a significant proportion (72.5 per cent) believed that parents should be either very involved or involved in teaching their child to drive, with parents being more likely than non-parents to hold this belief. In the post mid-2007 graduated driver licensing system, Queensland learner drivers are able to record three hours of supervised practice in their log book for every hour that is completed with a professional driving instructor, up to a total of ten hours. Despite this, there was no difference identified between Queensland and New South Wales participants regarding the amount of time that they reported their learners spent with professional driving instructors (X2(1) = 2.56, p = .110). Supervisors from New South Wales were more likely to ensure that their learner driver complied with the road laws. Additionally, with the exception of drug driving laws, New South Wales supervisors believed it was more important to teach safety-related behaviours such as remaining within the speed limit, car control and hazard perception than those from Queensland. This may be indicative of more intensive road safety educational efforts in New South Wales or the longer time that graduated driver licensing has operated in that jurisdiction. However, other factors may have contributed to these findings and further research is required to explore the issue. In addition, supervisors reported that their learner driver was involved in very few crashes (3.4 per cent) and offences (2.7 per cent). This relatively low reported crash rate is similar to that identified in the first study. Most of the graduated driver licensing research to date has been applied in nature and lacked a strong theoretical foundation. These studies used Akers’ social learning theory to explore the self-reported behaviour of novice drivers and their supervisors. This theory was selected as it has previously been found to provide a relatively comprehensive framework for explaining a range of driver behaviours including novice driver behaviour. Sensation seeking was also used in the first two studies to complement the non-social rewards component of Akers’ social learning theory. This program of research identified that both Akers’ social learning theory and sensation seeking were useful in predicting the behaviour of learner and provisional drivers over and above socio-demographic factors. Within the first study, Akers’ social learning theory accounted for an additional 22 per cent of the variance in learner driver compliance with the law, over and above a range of socio-demographic factors such as age, gender and income. The two constructs within Akers’ theory which were significant predictors of learner driver compliance were the behavioural dimension of differential association relating to friends, and anticipated rewards. Sensation seeking predicted an additional six per cent of the variance in learner driver compliance with the law. When considering a learner driver’s intention to comply with the law while driving on a provisional licence, Akers’ social learning theory accounted for an additional 10 per cent of the variance above socio-demographic factors with anticipated rewards being a significant predictor. Sensation seeking predicted an additional four per cent of the variance. The results suggest that the more rewards individuals anticipate for complying with the law, the more likely they are to obey the road rules. Further research is needed to identify which specific rewards are most likely to encourage novice drivers’ compliance with the law. In the second study, Akers’ social learning theory predicted an additional 40 per cent of the variance in self-reported compliance with road rules over and above socio-demographic factors while sensation seeking accounted for an additional five per cent of the variance. A number of Aker’s social learning theory constructs significantly predicted provisional driver compliance with the law, including the behavioural dimension of differential association for friends, the normative dimension of differential association, personal attitudes and anticipated punishments. The consistent prediction of additional variance by sensation seeking over and above the variables within Akers’ social learning theory in both studies one and two suggests that sensation seeking is not fully captured within the non social rewards dimension of Akers’ social learning theory, at least for novice drivers. It appears that novice drivers are strongly influenced by the desire to engage in new and intense experiences. While socio-demographic factors and the perception of risk associated with driving had an important role in predicting the behaviour of the supervisors of learner drivers, Akers’ social learning theory provided further levels of prediction over and above these factors. The Akers’ social learning theory variables predicted an additional 14 per cent of the variance in the extent to which supervisors ensured that their learners complied with the law and an additional eight per cent of the variance in the supervisors’ provision of a range of practice experiences. The normative dimension of differential association, personal attitudes towards the use of professional driving instructors and anticipated rewards were significant predictors for supervisors ensuring that their learner complied with the road laws, while the normative dimension was important for range of practice. This suggests that supervisors who engage with other supervisors who ensure their learner complies with the road laws and provide a range of practice to their own learners are more likely to also engage in these behaviours. Within this program of research, there were several limitations including the method of recruitment of participants within the first study, the lower participation rate in the second study, an inability to calculate a response rate for study three and the use of self-report data for all three studies. Within the first study, participants were only recruited from larger driver licensing centres to ensure that there was a sufficient throughput of drivers to approach. This may have biased the results due to the possible differences in learners that obtain their licences in locations with smaller licensing centres. Only 59.4 per cent of the sample in the first study completed the second study. This may be a limitation if there was a common reason why those not participating were unable to complete the interview leading to a systematic impact on the results. The third study used a combination of a convenience and snowball sampling which meant that it was not possible to calculate a response rate. All three studies used self-report data which, in many cases, is considered a limitation. However, self-report data may be the only method that can be used to obtain some information. This program of research has a number of implications for countermeasures in both the learner licence phase and the provisional licence phase. During the learner phase, licensing authorities need to carefully consider the number of hours that they mandate learner drivers must complete before they obtain their provisional driving licence. If they mandate an insufficient number of hours, there may be inadvertent negative effects as a result of setting too low a limit. This research suggests that logbooks may be a useful tool for learners and their supervisors in recording and structuring their supervised practice. However, it would appear that the usage rates for logbooks will remain low if they remain voluntary. One strategy for achieving larger amounts of supervised practice is for learner drivers and their supervisors to make supervised practice part of their everyday activities. As well as assisting the learner driver to accumulate the required number of hours of supervised practice, it would ensure that they gain experience in the types of environments that they will probably encounter when driving unaccompanied in the future, such as to and from education or work commitments. There is also a need for policy processes to ensure that parents and professional driving instructors communicate effectively regarding the learner driver’s progress. This is required as most learners spend at least some time with a professional instructor despite receiving significant amounts of practice with a private supervisor. However, many supervisors did not discuss their learner’s progress with the driving instructor. During the provisional phase, there is a need to strengthen countermeasures to address the high crash risk of these drivers. Although many of these crashes are minor, most involve at least one other vehicle. Therefore, there are social and economic benefits to reducing these crashes. If the new, post-2007 graduated driver licensing systems do not significantly reduce crash risk, there may be a need to introduce further provisional licence restrictions such as separate night driving and peer passenger restrictions (as opposed to the hybrid version of these two restrictions operating in both Queensland and New South Wales). Provisional drivers appear to be more likely to obey some provisional licence laws, such as lower blood alcohol content limits, than others such as speed limits. Therefore, there may be a need to introduce countermeasures to encourage provisional drivers to comply with specific restrictions. When combined, these studies provided significant information regarding graduated driver licensing programs. This program of research has investigated graduated driver licensing utilising a cross-sectional and longitudinal design in order to develop our understanding of the experiences of novice drivers that progress through the system in order to help reduce crash risk once novice drivers commence driving by themselves.

This research examines the substance abuse severity problem of the male narcotics arrestees of Turkey within the framework of Akers' Social Structural and Social Learning (SSSL) model. The SSSL model is tested to understand the impact of social structural factors on drug abuse severity of narcotics offenders, in mediation of social learning process. The research design consists of secondary data analysis and modeling techniques to test the hypotheses pertaining to the SSSL model. The data, consisting of 1,647 male cases, have been obtained from the TUBIM Program. The U.S. ADAM Program year 2003 data including 6,730 cases have also been utilized with the purpose of observing the similarities and/or differences among substance abusers across the nations, as described in Chapter 5. Accordingly, the narcotics criminals of Turkey and the U.S. were compared in terms of demographic status, criminal background, substance abuse behavior and state of substance related treatment. Eventually, it was found that substance abusing populations across these two nations are significantly different. In the second phase of the study, Akers' SSSL model was developed and tested on the male narcotics offenders of Turkey. Structural Equation Modeling (SEM) analysis was used to test the hypotheses of the study. A model for the drug offenders whose last charge is drug related (substance abuse or substance distribution) was developed and the model's robustness was tested on those narcotics offenders who have reported committing property and violent offenses before the last charge. It is found that the impact of the social factors on drug abuse and dependence behavior through social learning constructs is non-significant except for the age variable for the drug related offenders subset. Furthermore, the impact of all social structural factors on the seriousness of substance abuse in the mediation of social learning constructs is insignificant for the property and violent offenders subset. Also, the social learning construct of the property and violent offenders' subset does not significantly influence the seriousness of substance abuse.

This thesis contains two theoretical essays built upon the canonical models of social learning, and one that applies social learning theory to durable goods markets. The first chapter, "Non-Monotone Observational Learning", revisits the canonical social-learning model that rationalizes herding in the long run, to investigate the possibility of non-imitative behavior in the short run generated by non-monotone learning: ceteris paribus, when some predecessor(s) switch to actions revealing greater confidence in one state of the world, agents become less confident in that state. I characterize conditions on the underlying information structures that lead to non-monotone learning. In particular, in a general setting with continuous private signals, I provide a necessary condition for non-monotone learning with an argument for its plausibility, as well as two non-restrictive suffient conditions that do not rely on parametrization. The second chapter, "Does Public Information Disclosure Help Social Learning?", studies the effect of releasing exogenous public information in the canonical social-learning model that predicts incomplete learning. To improve social learning, I show that it is weakly better to postpone the disclosure of a public signal irrespective of its precision. However, such weak monotonicity no longer holds if the objective is to maximize the discounted sum of people's expected payoffs or if the model goes beyond the canonical binary setting. On the other hand, it is suboptimal to ever release a public signal less precise than people's private signals even if sophisticated releasing strategies are allowed. The last chapter, "Learning and Price Dynamics in Durable Goods Markets", is joint work with Francesco Palazzo. We study how markets for durable goods with unobservable and time-varying aggregate market conditions determine price dynamics with market participants constantly learning from public observations. We set up a dynamic auction model with two key features: first, agents enjoy heterogeneous private use values and later resell the asset; second, prices do not incorporate all available information dispersed in the economy. Informational frictions slow down learning and affect price movements asymmetrically across high and low aggregate demand states. Learning and the resale motive are the predominant force for durable goods with short resale horizons, slow time varying aggregate demand, and similar use values across agents.

Introduction to Case-making and Systems Change in Arts & Cultural Education is an overview of a collaborative project between Creative Generation and ElevateArtsEd undertaken to better understand how practitioners - such as artists, educators, community leaders, and more - can make the case for and also advocate through arts and culture to drive systemic change and address complex challenges. The project seeks to expand the knowledge base of case-making and systems change in the field of arts and cultural education and provide resources to support effective actions for practitioners and young creatives. Investigating both the theory and the practice of case-making, the introductory article draws on research from three distinct sectors: cultural, education, and social justice. The approach represents both the science of advocacy-- building blocks for understanding what effective advocacy looks like-- and the art of advocacy with calls for improvisation, adaptability, and generative thinking, all characteristics of art making. The article describes six key learning themes and an expanded model for advocacy focused on self, field, and sector through an overarching lens of social justice.

Emergency Relief (ER) is a Department of Social Services (DSS) funded program, delivered by 197 community organisations (ER Providers) across Australia, to assist people facing a financial crisis with financial/material aid and referrals to other support programs. ER has been playing this important role in Australian communities since 1979. Without ER, more people living in Australia who experience a financial crisis might face further harm such as crippling debt or homelessness. The Emergency Relief National Coordination Group (NCG) was established in April 2020 at the start of the COVID-19 pandemic to advise the Minister for Families and Social Services on the implementation of ER. To inform its advice to the Minister, the NCG partnered with the Institute for Governance at the University of Canberra to conduct research to understand the issues and challenges faced by ER Providers and Service Users in local contexts across Australia. The research involved a desktop review of the existing literature on ER service provision, a large survey which all Commonwealth ER Providers were invited to participate in (and 122 responses were received), interviews with a purposive sample of 18 ER Providers, and the development of a program logic and theory of change for the Commonwealth ER program to assess progress. The surveys and interviews focussed on ER Provider perceptions of the strengths, weaknesses, future challenges, and areas of improvement for current ER provision. The trend of increasing case complexity, the effectiveness of ER service delivery models in achieving outcomes for Service Users, and the significance of volunteering in the sector were investigated. Separately, an evaluation of the performance of the NCG was conducted and a summary of the evaluation is provided as an appendix to this report. Several themes emerged from the review of the existing literature such as service delivery shortcomings in dealing with case complexity, the effectiveness of case management, and repeat requests for service. Interviews with ER workers and Service Users found that an uplift in workforce capability was required to deal with increasing case complexity, leading to recommendations for more training and service standards. Several service evaluations found that ER delivered with case management led to high Service User satisfaction, played an integral role in transforming the lives of people with complex needs, and lowered repeat requests for service. A large longitudinal quantitative study revealed that more time spent with participants substantially decreased the number of repeat requests for service; and, given that repeat requests for service can be an indicator of entrenched poverty, not accessing further services is likely to suggest improvement. The interviews identified the main strengths of ER to be the rapid response and flexible use of funds to stabilise crisis situations and connect people to other supports through strong local networks. Service Users trusted the system because of these strengths, and ER was often an access point to holistic support. There were three main weaknesses identified. First, funding contracts were too short and did not cover the full costs of the program—in particular, case management for complex cases. Second, many Service Users were dependent on ER which was inconsistent with the definition and intent of the program. Third, there was inconsistency in the level of service received by Service Users in different geographic locations. These weaknesses can be improved upon with a joined-up approach featuring co-design and collaborative governance, leading to the successful commissioning of social services. The survey confirmed that volunteers were significant for ER, making up 92% of all workers and 51% of all hours worked in respondent ER programs. Of the 122 respondents, volunteers amounted to 554 full-time equivalents, a contribution valued at $39.4 million. In total there were 8,316 volunteers working in the 122 respondent ER programs. The sector can support and upskill these volunteers (and employees in addition) by developing scalable training solutions such as online training modules, updating ER service standards, and engaging in collaborative learning arrangements where large and small ER Providers share resources. More engagement with peak bodies such as Volunteering Australia might also assist the sector to improve the focus on volunteer engagement. Integrated services achieve better outcomes for complex ER cases—97% of survey respondents either agreed or strongly agreed this was the case. The research identified the dimensions of service integration most relevant to ER Providers to be case management, referrals, the breadth of services offered internally, co-location with interrelated service providers, an established network of support, workforce capability, and Service User engagement. Providers can individually focus on increasing the level of service integration for their ER program to improve their ability to deal with complex cases, which are clearly on the rise. At the system level, a more joined-up approach can also improve service integration across Australia. The key dimensions of this finding are discussed next in more detail. Case management is key for achieving Service User outcomes for complex cases—89% of survey respondents either agreed or strongly agreed this was the case. Interviewees most frequently said they would provide more case management if they could change their service model. Case management allows for more time spent with the Service User, follow up with referral partners, and a higher level of expertise in service delivery to support complex cases. Of course, it is a costly model and not currently funded for all Service Users through ER. Where case management is not available as part of ER, it might be available through a related service that is part of a network of support. Where possible, ER Providers should facilitate access to case management for Service Users who would benefit. At a system level, ER models with a greater component of case management could be implemented as test cases. Referral systems are also key for achieving Service User outcomes, which is reflected in the ER Program Logic presented on page 31. The survey and interview data show that referrals within an integrated service (internal) or in a service hub (co-located) are most effective. Where this is not possible, warm referrals within a trusted network of support are more effective than cold referrals leading to higher take-up and beneficial Service User outcomes. However, cold referrals are most common, pointing to a weakness in ER referral systems. This is because ER Providers do not operate or co-locate with interrelated services in many cases, nor do they have the case management capacity to provide warm referrals in many other cases. For mental illness support, which interviewees identified as one of the most difficult issues to deal with, ER Providers offer an integrated service only 23% of the time, warm referrals 34% of the time, and cold referrals 43% of the time. A focus on referral systems at the individual ER Provider level, and system level through a joined-up approach, might lead to better outcomes for Service Users. The program logic and theory of change for ER have been documented with input from the research findings and included in Section 4.3 on page 31. These show that ER helps people facing a financial crisis to meet their immediate needs, avoid further harm, and access a path to recovery. The research demonstrates that ER is fundamental to supporting vulnerable people in Australia and should therefore continue to be funded by government.

Ensuring Equity and Excellence for English Learners: An Annotated Bibliography for Research, Policy, and Practice is comprised of over 350 annotations from both recent and seminal literature (released between 1984–2021) that have significant implications for research, policy, and practice for English learner (EL) linguistic, social, and academic achievement. This annotated bibliography serves as a resource for researchers, policymakers, educators, and advocates who are working for equity and excellence for ELs. The authors provide a comprehensive selection of works focused on theory, research, and practice. The annotations are a result of purposeful searches of 23 topics in empirical and theoretical articles from peer-reviewed journals, books, book chapters, and reports from leading scholars in the field. Among the topics addressed relevant to EL education are broad areas such as: bilingual teacher preparation, teaching and professional development, university and district partnerships, digital learning for ELs, social emotional development, culturally sustaining pedagogy, and English Language Development (ELD) for elementary and secondary level students. The Integrated ELD (content instruction) topic is subcategorized according to specific disciplines including: English language arts, history, mathematics, science, visual & performing arts, and STEM. In order to provide additional information for readers, each annotation includes: (1) the source description (e.g., book, journal article, report), (2) type of source (e.g., empirical, guidance, theoretical), and (3) keywords.